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89 Results
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Workshop
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Fri 8:25 |
Deep Reinforcement Learning Workshop Karol Hausman · Qi Zhang · Matthew Taylor · Martha White · Suraj Nair · Manan Tomar · Risto Vuorio · Ted Xiao · Zeyu Zheng · Manan Tomar |
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Poster
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Thu 14:00 |
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data Armin Thomas · Christopher Ré · Russell Poldrack |
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Workshop
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Sat 6:30 |
Machine Learning for Systems Neel Kant · Martin Maas · Azade Nova · Benoit Steiner · Xinlei XU · Dan Zhang |
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Workshop
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Fri 9:45 |
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine |
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Workshop
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A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning Benjamin Eysenbach · Matthieu Geist · Russ Salakhutdinov · Sergey Levine |
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Workshop
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A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning Benjamin Eysenbach · Matthieu Geist · Sergey Levine · Russ Salakhutdinov |
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Poster
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Wed 14:00 |
Does GNN Pretraining Help Molecular Representation? Ruoxi Sun · Hanjun Dai · Adams Wei Yu |
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Workshop
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Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks Jesse Farebrother · Joshua Greaves · Rishabh Agarwal · Charline Le Lan · Ross Goroshin · Pablo Samuel Castro · Marc Bellemare |
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Workshop
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Fri 7:00 |
NeurIPS 2022 Workshop on Meta-Learning Huaxiu Yao · Eleni Triantafillou · Fabio Ferreira · Joaquin Vanschoren · Qi Lei |
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Poster
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Wed 9:00 |
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison · Luke Metz · Jascha Sohl-Dickstein |
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Poster
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Thu 14:00 |
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare |
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Poster
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Tue 14:00 |
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis Shayegan Omidshafiei · Andrei Kapishnikov · Yannick Assogba · Lucas Dixon · Been Kim |